{"id":"W2895405984","doi":"10.1145/3242969.3243008","title":"Path Word","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Password; Computer science; Gaze; Modality (human–computer interaction); Human–computer interaction; Gesture; Path (computing); Modalities; Authentication (law); Input method; Word (group theory); Eye tracking; Artificial intelligence; Computer vision; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001509556,0.000155636,0.000176069,0.0001079076,0.00004825366,0.0001264401,0.001833226,0.0002590689,0.00005537965],"category_scores_gemma":[0.00002780084,0.0001292549,0.00007191273,0.0001182475,0.00008478791,0.0000435079,0.00262886,0.000401554,0.0005163744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002746528,"about_ca_system_score_gemma":0.00007523975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002647679,"about_ca_topic_score_gemma":0.000005179073,"domain_scores_codex":[0.9989184,0.00002560112,0.0001408385,0.0005608734,0.0001341111,0.0002201782],"domain_scores_gemma":[0.9985933,0.00002465154,0.00008234743,0.001175541,0.00008232847,0.00004179819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002449164,0.0001613724,0.003254304,0.00009677516,0.00008113608,0.00008352887,0.0002249855,0.00001212742,0.0001268619,0.4810438,0.1195629,0.3953497],"study_design_scores_gemma":[0.0003825992,0.0002011312,0.05838585,0.0003584508,0.00002401793,0.00004506598,0.00001890724,0.03518293,0.005771812,0.8157359,0.08235417,0.001539166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01333571,0.00006856868,0.9423487,0.002260223,0.001390161,0.00008840328,0.000001804944,0.001795444,0.03871104],"genre_scores_gemma":[0.7784989,0.00001091549,0.2190392,0.0002733487,0.0001298756,0.0000166961,0.000002506697,0.000007806923,0.002020795],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7651631,"threshold_uncertainty_score":0.6637121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519365924313425,"score_gpt":0.2647805521108021,"score_spread":0.2395868928676678,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}